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SISTEM REKOMENDASI TEMPAT WISATA DI INDONESIA MENGGUNAKAN METODE MATRIX FACTO…
Indonesia has various tourist destinations. The large number of tourist destinations makes people confused about choosing a suitable tourist destination. The recommendation system is a suitable way to help Indonesian people choose tourist destinations that suit their preferences. One recommendation system method is matrix factorization. This research uses a matrix factorization algorithm, namel…
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- xvi, 72 hlm.; ilus.; 29 cm
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- T1505922024
PENERAPAN METODE KNOWLEDGE MANAGEMENT SYSTEM LIFE CYCLE DALAM PENGEMBANGAN KN…
This study develops a Knowledge Management System (KMS) using the Knowledge Management System Life Cycle (KMSLC) methodology and the SECI (Socialization, Externalization, Combination, Internalization) model. The KMS is designed to enhance knowledge management within the organization. The KMSLC method guides the development process from planning to evaluation, while the SECI model ensures the kn…
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- xv, 101 hlm.; ilus.; 29 cm
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- T1501942024
SISTEM PENDUKUNG KEPUTUSAN DALAM MEMILIH MOTIF BATIK KUJUR KHAS TANJUNG ENIM …
Toko Batik Kujur Quinnee May adalah salah satu toko batik yang berada di Tanjung Enim yang menjual batik khas dari Tanjung Enim. Pada sistem pemilihan Motif Batik yang dilakukan konsumen masih kurang optimal, Banyaknya motif dengan berbagai perbedaan pembuatannya membuat para konsumen batik dihadapkan dengan banyak pilihan. Sebuah cara pemilihan batik yang sesuai kriteria konsumen dibutuhkan de…
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- xii, 74 hlm.; ilus.; 29 cm
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- T1599122024
DETEKSI SERANGAN MALWARE BOTNET MENGGUNAKAN METODE SUPPORT VECTOR MACHINE
A botnet is a collection of devices infected with malware and controlled externally by an attacker to carry out network attacks, such as DDoS attacks, data theft, or spreading spam. This research uses a dataset from CICIoT2023 which consists of three types of classes, namely, tame traffic, mirai greip flood, and mirai udpplain to detect botnet malware attacks using the Support Vector Machine me…
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- xiii, 50 hlm.; ilus.; 29 cm
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- T1501642024
DETEKSI SERANGAN MALWARE BOTNET MENGGUNAKAN METODE K-NEAREST NEIGHBOR
A Mirai Botnet is a computer network consisting of thousands or millions of internet connected devices that have been hacked by the mirai malware. The purpose of the Mirai Botnet is to control Internet of Things (IoT) devices with weak security to infect the device and turn it into a botnet that can target other devices through Distributed Denial of Service (DDoS) attacks that can paralyze web …
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- xiii, 52 hlm.; ilus.; 29 cm
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- T1501652024
DETEKSI MAN IN THE MIDDLE (MITM) ATTACK PADA SMARTHOME DENGAN MENGGUNAKAN DEC…
The Gumay Mountains area topographically, it is in the elevation range of 200 to >1000 meters above sea level, with various types of slopes that vary. This landslide analysis observation uses two methods, namely NDVI and relief diversity. NDVI stands for Normalized Difference Vegetation Indices, an analysis that uses vegetation as its main index or parameter. In this case, the presence of veget…
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- xii, 40 hlm.; ilus.; 29 cm
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- T1502052024
ANALISIS KONSUMSI ENERGI DAN MASA HIDUP JARINGAN MENGGUNAKAN METODE LION OPTI…
In this growing modern era, IoT (Internet of Thing) networks have become a new era in IoT networks aimed at expanding the utilization of internet connectivity that is connected continuously. Low Power Lossy Network is part of the IoT network but has limited power and data packets are often lost, short transmission range and low bandwidth can cause waste of power that occurs. Therefore, this res…
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- xiii, 42 hlm.; ilus.; tab, 29 cm.
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- T1552572024
PENGGUNAAN METODE LION OPTIMIZATION ALGORITHM UNTUK RATA-RATA ENERGI PADA JAR…
In the era of rapidly developing technology, the Internet of Things (IoT) Network is one of the main applications driving the evolution of the Internet towards the Internet of the Future. LLN (Low Power Lossy Network) is an IoT network that has limited power and also has a low bandwidth which can make excessive energy usage and inappropriate data packet delivery a problem that often occurs on t…
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- xiii, 40 hlm.; ilus,; tab, 29 cm.
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- T1552432024
ANALISIS PEMILIHAN JALUR PADA JARINGAN SENSOR NIRKABEL MENGGUNAKAN METODE L-RPL.
Routing Protocols for low-power networks such as Wireless Sensor Networks suffer from decreased depth, increased control overhead, longer latency and higher energy usage. Path selection suffers from the problem of less stability as packet delivery failures are more frequent as nodes are very close to each other in dense networks. Laplacian Routing Protocol low power lossy network (L-RPL) is a p…
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- xii, 38 hlm.; ilus.; tab, 29 cm.
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- T1550992024
ANALISIS EFISIENSI SISTEM PENCAHAYAAN PADA SMARTHOME MENGGUNAKAN METODE OPTIM…
This research will discuss about energy consumption and usage intensity in Smarthome lighting system and efficiency in its application to evaluate the effectiveness with optimization. The purpose of this research is power transition, measurement and evaluation of efficiency effectiveness. This research uses the Optimization method with Load Monitoring (NILM) and Energy Consumption Analysis to m…
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- xiii, 44 hlm.; ilus,; tab, 29 cm.
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- T1551002024
ANALISIS EFISIENSI ENERGI RPL PADA JARINGAN SENSOR NIRKABEL MENGGUNAKAN METOD…
A routing protocol (RPL) specifically designed for networks with low power and high loss, such as Wireless Sensor Networks. RPL can be optimized for Energy Efficiency, due to limited resources and weak connections, the probability of network disconnection is quite high.This will cause losses resulting in more amount of energy consumption at the nodes to retransmit the packets. In this regard, R…
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- xii, 46 hlm.; ilus.; tab, 29 cm.
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- T1550702024
SEGMENTASI DAN KLASIFIKASI TINGKAT KEPARAHAN LESI PRA KANKER SERVIKS DENGAN M…
Seiring berkembangnya teknologi, model deep learning kini dapat digunakan untuk mengimplementasikan proses segmentasi dan klasifikasi citra. Penelitian ini bertujuan untuk mengembangkan model segmentasi dan klasifikasi kanker serviks menggunakan arsitektur U-Net Convolutional Neural Network (CNN). Model U-Net dikembangkan untuk melakukan segmentasi jaringan serviks dan memisahkan area yang menc…
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- xv, 64 hlm.; ilus.; tab, 29 cm.
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- T1549192024
PEMETAAN POTENSI CUACA EKSTREM DI KABUPATEN BANGKA BARAT MENGGUNAKAN METODE W…
Penelitian ini bertujuan untuk mengetahui potensi cuaca ekstrem diKabupaten Bangka Barat dengan menggunakan software ArcGis versi 10.8. Pemetaan potensi cuaca ekstrem di Kabupaten Bangka Barat ini menggunakan 3 parameter, yaitu peta tutupan lahan, curah hujan, dan topografi/kelerengan. Ketiga parameter tersebut akan diolah dan menghasilkan masing-masing peta, yaitu peta tutupan lahan, peta cura…
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- xvii, 103 hlm.; ilus.; 29 cm
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- T1598632024
PENDETEKSIAN T WAVE ALTERNANS MELALUI DELINEASI SINYAL ELEKTROKARDIOGRAM BE…
T Wave Alternans (TWA) dikaitkan dengan beberapa penyakit dan deteksi akuratnya yang dapat mengdiagnosis lebih dini mengenai komplikasi jantung. Penelitian ini menggunakan data dari QT Database (QTDB) dan T Wave Alternans Database (TWADB). QTDB digunakan untuk proses training untuk pengujian model sedangkan dataset TWA digunakan untuk proses pengujian. Delineasi terhadap sinyal EKG secara otoma…
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- xv, 97 hlm.; ilus.; tab, 29 cm.
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- T1549172024
PENENTUAN KONDISI KEPADATAN LALU LINTAS BERDASARKAN DATA MEDIA SOSIAL MENGGUN…
Perbandingan dilakukan antara data media sosial terhadap data angka kendaraan dari kamera CCTV Dirlantas Polda Sumsel menggunakan algoritma Naïve Bayes. Data media sosial dikumpulkan dengan teknik scrapping menggunakan Tweet Harvest, kemudian melalui proses preprocessing dan metode TF-IDF lalu diklasifikasikan menggunakan Naïve Bayes. Sedangkan data angka kendaraan, dilatih menggunakan model …
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- xiv, 63 hlm.; ilus.; tab, 29 cm
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- T1550892024
ANALISIS FAKTOR-FAKTOR YANG MEMENGARUHI NIAT PERILAKU DAN PERILAKU PENGGUNAAN…
Seabank merupakan aplikasi bank digital yang dimiliki PT Bank Seabank Indonesia yang membantu dalam melakukan aktivitas finansial, mulai dari menabung hingga bertransaksi, melalui handphone kapan pun dan dimana pun. Namun, aplikasi seabank mengalami penurunan pengguna aktif dan open rate yang mana para pengguna mengeluhkan beberapa masalah baik dalam hal teknis maupun event atau keuntungan dala…
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- xv, 84 hlm.; ilus.; tab, 29 cm.
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- T1534952024
MONITORING DAN ANALISIS PERFORMA TRANSAKSI PERSECOND PADA SISTEM BLOCKCHAIN B…
Blockchain is a distributed database in which information sent by users is periodically verified and grouped into blocks, thus forming a chain. CITA (Cryptape Inter-enterprise Trust Automation) is a high-performance blockchain system for enterprises with 6 microservices (RPC, Auth, Consensus, Chain, Executor, Network) that exchange information via Message Bus. The process of data retrieval, dat…
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- xiii, 47 hlm.; ilus.; tab, 29 cm.
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- T1543362024
OPTIMALISASI MANAGEMENT FLEET ALAT GALI MUAT DAN ALAT ANGKUT MENGGUNAKAN SOFT…
Pencapaian produksi batubara harian seringkali tidak mencapai target, kebutuhan batubara yang semakin meningkat menyebabkan tingkat produktivitas batubara juga semakin tinggi, maka dari itu kebutuhan alat gali muat dan alat angkut serta efisiensi alat harus dipertimbangkan. Target produksi harian batubara pada bulan januari di PT. Putra Muba Coal diketahui mencapai 2.974,27 ton/hari, dengan akt…
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- xv, 56 hlm.; ilus.; tab, 29 cm.
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- T1537982024
KLASIFIKASI SERANGAN SPYWARE DENGAN MENGGUNAKAN METODE DECISION TREE
Spyware is a type of malicious software that can collect information about a person or organization without permission. Typically, spyware is installed accidentally through malware or downloaded from the internet without the user's knowledge. Spyware is particularly dangerous because it targets computers and gadgets, posing serious risks to privacy and data integrity. Spyware can collect sensit…
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- xv, 82 hlm.; ilus.; tab.; 29 cm.
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- T1859732025
KLASIFIKASI TRAFFIC ANONYMOUS THE ONION ROUTE DENGAN METODE K-NEAREST NEIGHBO…
Penelitian ini bertujuan untuk mengembangkan model klasifikasi yang akurat untuk mengidentifikasi dan mengkategorikan lalu lintas anonim pada jaringan Tor. Dataset yang digunakan adalah CIC-Darknet2020. Teknik Synthetic Minority Over-sampling Technique (SMOTE) diterapkan untuk menangani ketidakseimbangan kelas, sementara Mutual Information Classifier (MIC) digunakan untuk seleksi fitur. Model K…
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- xii, 53 hlm.; ilus.; tab, 29 cm.
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- T1535522024
DETEKSI POLA AKSES JUDI ONLINE BERBASIS PROTOCOL SSL/TLS BY SNI MENGGUNAKAN M…
Perkembangan teknologi internet yang pesat telah menyebabkan meningkatnya aktivitas judi online yang berpotensi mengancam keamanan data dan ketertiban digital. Penelitian ini bertujuan untuk mendeteksi pola akses terhadap situs judi online melalui analisis informasi Server Name Indication (SNI) pada protokol SSL/TLS menggunakan metode Support Vector Machine (SVM). Proses penelitian mencakup pem…
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- xv, 80 hlm.; ilus.; tab.; 29 cm.
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- T1859222025
IMPLEMENTASI DAN ANALISIS DYNAMIC TRAFFIC MANAGEMENT DENGAN PARAMETER QUALITY…
This study examines the implementation and analysis of Dynamic Traffic Management on Software Defined Network (SDN) networks with performance assessment through Quality of Service (QoS) parameters using the t-Test method. The aim is to assess the impact of implementing dynamic traffic management on network performance by comparing conditions before and after the use of intent based routing on t…
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- xv, 145 hlm.; ilus.; tab.; 29 cm.
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- T1859052025
DETEKSI SERANGAN DDOS DOS DAN MITM PADA JARINGAN SMARTHOME MENGGUNAKAN METODE…
The development of the Internet of Things (IoT) has brought convenience to human life through the smart home concept, which enables various devices to be interconnected and controlled automatically. However, this increased connectivity also poses security threats, particularly cyberattacks such as Distributed Denial of Service (DDoS), Denial of Service (DoS), and Man-in-the-Middle (MiTM). This …
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- xii, 101 hlm.; ilus.; tab.; 29 cm.
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- T1858732025
DETEKSI SERANGAN DDOS DAN MITM PADA JARINGAN SMARTHOME MENGGUNAKAN METODE RAN…
The development of smart home technology enables users to control and monitor household devices automatically through the Internet of Things (IoT). However, this high connectivity also increases the risk of cyberattacks such as Distributed Denial of Service (DDoS) and Man in The Middle (MITM), which can compromise system stability and security. This study aims to detect DDoS and MITM attacks in…
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- xiii, 95 hlm.; ilus.; tab.; 29 cm.
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- T1858742025
ANALISIS SENTIMEN INSTAGRAM DAN FACEBOOK TERHADAP KONDISI LALU LINTAS DI KOTA…
Penelitian ini bertujuan membangun model klasifikasi kondisi lalu lintas menggunakan data dari sosial media (Instagram dan Facebook) serta data ETLE dengan arsitektur Long Short-Term Memory (LSTM). Dari total 1.251 data sosial media yang dikumpulkan, sebanyak 932 data dipilih berdasarkan kemunculan kata kunci “macet”, “sedang”, dan “lancar”. Data ini kemudian dibagi menjadi data lat…
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- xvii, 73 hlm.; ilus,; tab, 29 cm
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- T1838022025
IMPLEMENTASI METODE YOU ONLY LOOK ONCE (YOLOV8) DALAM MENDETEKSI ACNE VULGARIS
This study aims to implement the You Only Look Once (YOLOv8) method for detecting acne in acne vulgaris images. Automatic detection of acne types is essential to support rapid, accurate, and efficient dermatological diagnosis. The research involves designing a YOLOv8-based detection model, which includes the stages of collecting and annotating facial image datasets, preprocessing, model trainin…
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- xiii, 90 hlm.; ilus.; tab.; 29 cm.
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- T1858712025
THE DETERMINANTS OF THE USE OF PERFORMANCE MEASUREMENT SYSTEM IN LOCAL GOVERN…
This study investigates the determinants influencing the use of performance measurement systems (PMS) in local governments of South Sumatera. The research aims to identify critical factors that affect the implementation and effectiveness of PMS in these governmental bodies. The population of this study consists of Public Servants that located in 5 cities/regencies. A total of 114 questionnaire …
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- viii, 87 hlm.; ilus.; 29 cm
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- T1490352024
DETEKSI SERANGAN DDOS DAN MITM PADA JARINGAN SMARTHOME DENGAN METODE MACHINE …
The rapid growth of Internet of Things (IoT) devices in smart home environments increases convenience but also introduces various network security threats, such as Distributed Denial of Service (DDoS) and Man in The Middle (MITM) attacks. This study aims to implement and evaluate the performance of the Extreme Gradient Boosting (XGBoost) algorithm in detecting DDoS and MITM attacks on IoT netwo…
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- xiv, 85 hlm.; ilus.; tab.; 29 cm.
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- T1858772025
KERAPATAN DAN STRUKTUR KOMUNITAS LAMUN SERTA KETERKAITANNYA DENGAN PARAMETER …
Seagrass ecosystems are among the most important shallow marine habitats, playing a crucial role in maintaining ecological balance and coastal stability. This study aims to analyze the density and community structure of seagrass and their relationship with water quality parameters. Sampling stations were determined using the purposive sampling method, while seagrass observations were conducted …
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- xvi, 75 hlm.; ilus.; tab.; 29 cm.
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- T1858622025
PERUBAHAN SOSIAL EKONOMI KEHIDUPAN NASABAH BTPN SYARIAH DI KELURAHAN 13 ULU K…
This research discusses the socio-economic changes in the lives of BTPN Syariah customers in sub-district 13 Ulu after the credit loan. There were changes after the people in sub-district 13 Ulu became familiar with the bank credit system. The occurrence of socio-economic changes certainly has an impact on society, this research aims to find out how the socio-economic changes in the lives of BT…
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- xii, 80 hlm.; ilus.; tab.; 29 cm
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- T1477312024
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